IDB691 - RESEARCH METHODS and ETHICS

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
RESEARCH METHODS and ETHICS IDB691 1st Semester 3 0 3 9
Prequisites
Course languageEnglish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Discussion
Brain Storming
 
Instructor (s)Faculty members 
Course objectiveAt the end of the semester the students will be able to ... - Define MLA Technique, basic steps of a scientific research and data collection techniques  
Learning outcomes
  1. - Plan and carry out a scientific research study searching various scientific sources
  2. - Analyze data effectively
  3. - Write a scientific research article by considering all the results of the study.
Course ContentThe steps in typical social-scientific research are reviewed such as; lexical and stylistic Information, library skills, research proposal, major components of research e.g. statement of purpose, formation of hypothesis, method, review of literature, documentation of sources, referencing skills. 
ReferencesLin, N. (1986). Foundations of Social Research. New York: McGraw-Hill Company.
Gibaldi, J. and Walter S. A. (1984). MLA Handbook for Writers of Research Papers.
Graziano, A.M. and Raulin,M. (1993). Research Methods: A Process of Inquiry. New York: Harper Collins College Publishers.
 

Course outline weekly

WeeksTopics
Week 1Definitions of scientific research, the characteristics of scientific researches
Week 2The steps of a scientific research
Week 3Research types, the characteristics of qualitative and quantitative researches
Week 4Specifying a research topic and the points that should be taken into account in this process
Week 5Statement of the problem, hypothesis formation or determination of the research questions
Week 6Sampling selection and techniques for sampling selection
Week 7Midterm Exam
Week 8Data collection techniques
Week 9Qualitative data collection techniques
Week 10Quantitative data collection techniques
Week 11Techniques for the analysis of the results
Week 12Techniques for the analysis of qualitative results
Week 13Techniques for the analysis of quantitative results
Week 14Analysis of the methodologies of sample articles
Week 15Preparation for the final exam
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance340
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments710
Presentation210
Project00
Seminar00
Midterms130
Final exam150
Total100
Percentage of semester activities contributing grade succes1050
Percentage of final exam contributing grade succes150
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14684
Presentation / Seminar Preparation4832
Project000
Homework assignment7535
Midterms (Study duration)11717
Final Exam (Study duration) 13030
Total Workload4169240

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest